{"title":"Intelligent Cloud Training System based on Edge Computing and Cloud Computing","authors":"Zhijia Chen, Yanqiang Di, Hongli Yuan, Shaochong Feng","doi":"10.1109/ITNEC48623.2020.9084987","DOIUrl":null,"url":null,"abstract":"Equipment simulation training based on cloud computing is emerging. However, the latency between cloud center and client is long, and the energy consumption management is difficult, which are influencing the development of cloud training. Intelligent cloud training system based on edge computing and cloud computing is introduced in this paper. Intelligent gateway is introduced, through which the task and resources are scheduled and managed together. The popularity of training resources is analyzed. The management of servers in cloud center and edge is intelligently switched between timing sleep and task-activation. Intelligent training service provisioning is achieved through above measures. The simulation results show that the system and management methods are effective on improving training service quality and lower the energy consumption.","PeriodicalId":235524,"journal":{"name":"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITNEC48623.2020.9084987","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Equipment simulation training based on cloud computing is emerging. However, the latency between cloud center and client is long, and the energy consumption management is difficult, which are influencing the development of cloud training. Intelligent cloud training system based on edge computing and cloud computing is introduced in this paper. Intelligent gateway is introduced, through which the task and resources are scheduled and managed together. The popularity of training resources is analyzed. The management of servers in cloud center and edge is intelligently switched between timing sleep and task-activation. Intelligent training service provisioning is achieved through above measures. The simulation results show that the system and management methods are effective on improving training service quality and lower the energy consumption.